Directions of research at the Institute of Socio-Economic and Energy Problems of the North of the Komi Science Centre, Ural Branch, RAS

Лаженцев, В. Н.

doi:10.19110/1994-5655-2018-4-102-110

Cited by 4 publications

(5 citation statements)

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“…The ontology of geological and economic monitoring should be based on the use of the Mamdani method [6][7][8][9][10]. The application of the Mamdani method is based on the theory of fuzzy sets.…”

Section: Theoreticalmentioning

confidence: 99%

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Tools for ranking objects of the mineral resource complex based on ontology

Dadykin,

Dadykina,

Kondratenko

2024

E3S Web of Conf.

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Mineral resources form the basis for the development of the vast majority of industries. At the same time, most of them are non-renewable. To determine promising exploration activities in conditions of limited human, financial, and sometimes technical resources, it is necessary to take into account a large number of factors when setting exploration tasks for the reproduction of mineral resources. To solve problems with relatively weak formalization, it is customary to use the mathematical apparatus of fuzzy logic in decision support systems. However, it must be based on an ontological model that will contain the interrelationships of the elements of the system and allow you to find implicit relationships between them. In this paper, based on the mathematical apparatus of fuzzy logic and the Mamdani method, it is proposed to form an ontology of geological and economic monitoring in relation to a mineral resource facility (MRF), an industrial raw materials hub (IRMH) and an administrative entity. As a result, using the Reasoner component built into Protege, indicators of geological and economic monitoring, taxonomic units and the frequency of information collection for designing a decision support system in the geological industry were determined. It is possible to create such a convergence, taking into account the heterogeneity of data storage systems, on the basis of an ontological model. The advantage of using ontology is the high level of this tool flexibility, taking the form of heterogeneous data integration within a single storage system. This article attempts to use ontological models framework together with artificial intelligence for the geological subject area in terms of solid minerals, particularly common ones, and ground waters.

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Section: Theoreticalmentioning

confidence: 99%

“…, 0 In relation to the subject of the study, there are other approaches to building causal relationships between elements resulting in the output of real geological and economic data set. An example of such approach is the use of neural network programming [5][6][7][8].…”

Section: Practicalmentioning

confidence: 99%

Tools for ranking objects of the mineral resource complex based on ontology

Dadykin,

Dadykina,

Kondratenko

2024

E3S Web of Conf.

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“…In addition to the system of valuation of deposits, the automated system should also contain components that allow making requirements for deposits in the form of a list with a qualitative assessment or a quantitative characteristic of each item [12]. A comparison of the assessment of the requirements with the valuation given to the deposit by a group of experts will make it possible to identify the discrepancy between them and make a decision on measures aimed at reducing this difference, for example, carrying out additional geological exploration to clarify certain characteristics of a potential subsurface use facility.…”

Section: Theoretcalmentioning

confidence: 99%

“…Most methods of geological evaluation and economic assessment of forecast resources are based on the use of the principles of stochastic similarity of characteristics [4,7,11]. This circumstance makes it possible to use methods of estimating forecast resources analogously, either geological or on the basis of quantitative gradation of factorsmathematical, economic methods [1][2][3]5].…”

Section: Theoretcalmentioning

confidence: 99%

Instructional aspects of ranking subsurface areas according to their prospects, based on the use of fuzzy logic

Dadykin

Dadykina

2023

International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023)

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Currently, in financing cases concerning state-run mineral resources base reproduction, especially in terms of identifying forecast resources, and in some cases regarding the category of reserves C2, there is an urgent need to develop ranking techniques for subsurface allotments according to their prospects. In such situations, the use of fuzzy logic models will allow formalizing and automating integral estimation calculation of subsurface allotments for the purposes of their ranking. Therefore, the purpose of this work is to develop instructional aspects of ranking subsurface allotments according to prospects based on the use of fuzzy logic. Resulting from the application of this technique it was possible to perform an aggregated assessment of subsurface areas on the territory of the Bryansk region according to geological reports for the period of 2010-2020. The subsurface areas, being subsequently recognized as prospects, were introduced into the model with their expert assessments for this period of work. Thus, we have initiated a methodology for ranking subsurface areas according to their prospects based on the use of fuzzy logic. It provides for the use of the specified production rules to perform the ranking of subsurface allotments taking into account the prospects. Production rules should cover all possible combinations of expert assessments in confidential intervals. Besides, within the implementing techniques it is required to compare subsurface allotments in terms of fuzzy estimates and also clear mathematical sets. This operation is implemented programmatically (Mamdani algorithm) by performing sequential phasificationdefasification operations in the Fuzzy logic component of the Matlab software product.

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“…Всего на территории бывшего Советского Союза было сформировано 15 крупных территориально-производственных комплексов. В районах создания ТПК крупные промышленные предприятия становились градообразующими, замыкающими на себе все городские сферы [11].…”

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Пространственная Организация Экономической Деятельности Региона: Сущность, Формы, Трансформация

Кузьмина¹,

Тонышева²

2018

RPPE

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Предмет работы: экономические отношения, возникающие в пространстве региона. Цель работы: уточнение теоретических положений пространственной организации экономической деятельности в регионе. Метод: работа базируется на дедуктивном, индуктивном, абстрактно-логическом методах организации исследовательского процесса. Результаты работы. Систематизированы подходы к определению понятия «экономическое пространство», показаны их различия и общие черты. Охарактеризованы этапы развития теорий пространственной организации экономической деятельности в России. Определены основные формы организации экономической деятельности в пространстве региона. Структурированы и охарактеризованы свойства экономического пространства региона, а также показаны основные направления их изменения в результате пространственно-экономических трансформаций. Выводы. В фокусе внимания экономистов-регионалистов все чаще оказываются вопросы размещения производительных сил на территории регионов или пространственной организации экономической деятельности. К основным формам пространственной организации экономической деятельности на разных этапах можно отнести комбинаты, территориально-производственные комплексы, кластеры, технополисы, технопарки, индустриальные парки и т. д. В экономическом пространстве региона происходит трансформация пространственной организации экономической деятельности, это находит отражение в изменении его свойств (поляризованности, связанности, неоднородности и др.).

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Directions of research at the Institute of Socio-Economic and Energy Problems of the North of the Komi Science Centre, Ural Branch, RAS

Cited by 4 publications

References 0 publications

Tools for ranking objects of the mineral resource complex based on ontology

Tools for ranking objects of the mineral resource complex based on ontology

Instructional aspects of ranking subsurface areas according to their prospects, based on the use of fuzzy logic

Пространственная Организация Экономической Деятельности Региона: Сущность, Формы, Трансформация

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